Saturday-Sunday AI Data Annotator – Regional Languages

Apple Inc

United States

Sur place

USD 21 000 - 34 000

Temps partiel

Il y a 11 jours

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Avantages offerts par ce poste

Remote work from home
Competitive weekend hourly pay
Flexible weekend schedule
Professional development opportunities

Résumé du poste

Apple Inc is seeking meticulous and detail-oriented AI Data Annotators to work on regional language datasets. This part-time weekend role supports global AI efforts including voice recognition and NLP, with remote work from home.

The position offers 4–6 hours per day on Saturdays and Sundays, and opportunities to contribute to cutting-edge AI products used worldwide.

Qualifications

  • Strong command of at least one regional language in addition to English.
  • Excellent attention to detail and the ability to work meticulously.
  • Basic computer literacy and familiarity with annotation tools or willingness to learn.
  • Ability to follow instructions and maintain high accuracy under time constraints.
  • Good communication skills to clarify and report tasks effectively.

Responsabilités

  • Accurately annotate and label text, audio, or image data in regional languages as per project guidelines.
  • Ensure consistency, quality, and adherence to Apples annotation standards.
  • Collaborate with the AI and machine learning team to clarify annotation requirements.
  • Report any discrepancies or challenges encountered during annotation tasks.
  • Maintain confidentiality and security of sensitive data.
  • Meet project deadlines while ensuring precision in data annotation.

Connaissances

Regional language
Attention to detail
Basic computer literacy
Follow instructions
Communication skills

Outils

Annotation tools

Description du poste

Job Summary

Apple Inc is seeking meticulous and detail-oriented AI Data Annotators to work on regional language datasets. This role is pivotal in improving Apples artificial intelligence systems, including voice recognition, natural language processing, and other AI-driven technologies. The ideal candidate will work part-time on weekends, contributing to high-quality labeled data that directly impacts Apples innovative AI products.

Key Responsibilities
  • Accurately annotate and label text, audio, or image data in regional languages as per project guidelines.
  • Ensure consistency, quality, and adherence to Apples annotation standards.
  • Collaborate with the AI and machine learning team to clarify annotation requirements.
  • Report any discrepancies or challenges encountered during annotation tasks.
  • Maintain confidentiality and security of sensitive data.
  • Meet project deadlines while ensuring precision in data annotation.
Required Skills and Qualifications
  • Strong command of at least one regional language in addition to English.
  • Excellent attention to detail and the ability to work meticulously.
  • Basic computer literacy and familiarity with annotation tools or willingness to learn.
  • Ability to follow instructions and maintain high accuracy under time constraints.
  • Good communication skills to clarify and report tasks effectively.
Experience
  • Prior experience in data annotation, transcription, or related roles is preferred but not mandatory.
  • Experience working with AI/ML projects or linguistic datasets is a plus.
Working Hours
  • Part-time position, Saturdays and Sundays.
  • Flexible weekend hours, typically 4–6 hours per day, with the possibility of adjustments based on project requirements.
  • Remote work from home is supported.
Knowledge, Skills, and Abilities
  • Strong linguistic skills in regional languages.
  • Analytical mindset with high accuracy and attention to detail.
  • Comfortable using digital tools and platforms for annotation tasks.
  • Ability to work independently and manage time effectively.
  • Adaptable to new technologies and annotation software.
Benefits
  • Competitive hourly pay for weekend work.
  • Opportunity to contribute to cutting-edge AI technologies used globally.
  • Flexible working hours and remote work convenience.
  • Recognition for high-quality contributions to AI projects.
  • Professional development opportunities through exposure to Apples AI systems.
Why Join Apple Inc?
  • Be part of a global leader in technology and innovation.
  • Contribute directly to AI and machine learning projects shaping the future.
  • Work in a collaborative, inclusive, and flexible environment.
  • Gain experience with industry-leading AI annotation standards and tools.
  • Enhance your skills while contributing to products used by millions worldwide.
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